The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

The introduction of online social networks (OSN) has transformed the way people connect
and interact with each other as well as share information. OSN have led to a tremendous …

In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

The degeneracy of an n-vertex graph G is the smallest number d such that every subgraph
of G contains a vertex of degree at most d. We show that there exists a nearly-optimal fixed …

Studying the topology of a network is critical to inferring underlying dynamics such as
tolerance to failure, group behavior and spreading patterns. k-core decomposition is a well …

We consider the problem of finding dense subgraphs with specified upper or lower bounds
on the number of vertices. We introduce two optimization problems: the densest at-least-k …

Considering that modern science is conducted primarily through a network of collaborators
who organize themselves around key researchers, this research develops and tests a …

Embodiments are disclosed for profiling network-level mali cious activity. Profiling
embodiments include observing malicious activity, representing such activity in accordance …

Communities in multi-layer networks consist of nodes with similar connectivity patterns
across all layers. This article proposes a tensor-based community detection method in multi …